… Whereas I use /model and /mcp commands for switching, control, and environment awareness. And finally, the /agents command to manage and create custom agents like code-reviewer and implementation-plan for specific tasks. …
… Here, "multi-agent" doesn't mean the agents run concurrently. n8n's setup is a LangGraph state machine where the Supervisor picks one agent to run next, that agent does its work, control goes back to a router, and the next agent is chosen. Only one agent is active at a time. …
… It also supports a wide range of models, including local ones, which makes it easier to control both cost and privacy depending on how you set it up. …
… A Inline autocomplete mode B Cloud-based parallel agent execution C Local model inference D Sequential task queuing Correct! Codex operates as a cloud-based agent that can spin up multiple sandboxed environments and run tasks in parallel. …
… I can jump into the code to tweak a specific logic gate while my Mission Control agents handle the work in the background. …
… The company then later announced a restriction on programmatic usage, namely the Agent SDK and claude -p usage, where users can claim extra usage credits matching their subscription cost that will allow for those tools to be used. …
… Codex is now bundled with ChatGPT Plus, which comes in at the same price, so there's no cost advantage either way. However, there's a big difference in how the two agentic tools work: Codex runs tasks in an isolated cloud sandbox, while Claude Code operates directly in your local environment . …
… The problem is not the idea, but the cost of switching. …
… Rather, it's proof that the human cost of bug-hunting has completely collapsed. …
… Even though I wanted more control over my final budget for each event, it just ended up giving me a manual input box to put in the final budget. …